In order for productive learning to occur within the context of this project, monitoring practices must be robust and go beyond collecting data against indicators.
This is especially important within a resilience context, as the pre-emptive baseline measurement that is usually used for measuring progress/success is not desirable here.
Instead, an ‘outcome harvesting’ approach is more practical, as it does not measure progress towards predetermined outcomes or objectives, but rather collects evidence of what has been achieved, and works backward to determine whether and how the project or intervention contributed to the change.
Within the LPRR project there is a need for rigorous evaluation, which balances accountability and learning.
Given the ever-evolving evidence base of ‘what works under what conditions’ coupled with the need to demonstrate quality, impactful programming in both upwards and downwards accountability, these types of robust evaluations are essential.
In order to ensure learning and accountability are achieved through evaluations, they must be well-planned and budgeted for.
This is where the role of the learning strand comes in; by recognising that learning is essential at the outset, it enables it to be included within the design of the project.
Published on 01 June 2015
- Democratic Republic of Congo
- The Philippines
- Latin America and the Caribbean
- Resilience and climate